Fine-Grained Urban Low-Altitude Airspace Gridding with Dynamic Event Response and Vertical Air-Route Corridors
Abstract. With the rapid growth of urban low-altitude applications, traditional airspace management approaches based on simple altitude limits and static no-fly zones can no longer meet the demands of high-density and highly dynamic operations. To address this issue, this study proposes a fine-grained gridding method for urban low-altitude airspace with dynamic event response and vertical flight corridor constraints. First, a unified three-dimensional grid model is constructed on the basis of an urban 3D digital twin platform, and the grid scale and update cycle are determined by jointly considering clearance requirements and safety separation. Second, a method for injecting static and dynamic attributes is established to achieve the unified representation and continuous updating of terrain, buildings, no-fly and restricted zones, wind fields, temporary restrictions, as well as occupancy and release information within the grid. Third, fixed-geometry and dynamically open vertical flight corridors are designed to support controlled cross-layer flight transitions and reduce the risk of vertical conflict propagation. An experimental system is developed using a typical high-density urban area in Yuehai Subdistrict, Nanshan District, Shenzhen, as the case study. The results show that the proposed method can achieve stable spatial discretization, accurate attribute loading and updating, and clear organization of cross-layer flight. The proposed method provides a unified technical framework for low-altitude airspace representation, state management, and operational governance in complex urban environments.
Authors
- Ding Ma (ORCID: https://orcid.org/0000-0001-9328-9584)
- Xing Lin (ORCID: https://orcid.org/0000-0002-0319-4408)
- Leyang Zhao (ORCID: https://orcid.org/0009-0004-6693-0814)
- Xiaoming Li
- Sichang Wang
- Hang Mei
- Lei Han
- Yang Zhao
- Weixi Wang
Institutions
- Shenzhen University (CN)
- Urban Planning & Design Institute of Shenzhen (China) (CN)
Publication Details
- Journal
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
- Published
- 2026-07-23
- DOI
- https://doi.org/10.5194/isprs-archives-xlix-b2-2026-611-2026
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00